Claire Yang
Scholar

Claire Yang

Google Scholar ID: xFQVupsAAAAJ
CS PhD Student, University of Washington
Artificial IntelligenceHuman-Robot InteractionAlignment
Citations & Impact
All-time
Citations
0
 
H-index
0
 
i10-index
0
 
Publications
3
 
Co-authors
5
list available
Resume (English only)
Academic Achievements
  • First paper on how robot autonomy affects user agency was accepted at RO-MAN 2025. Currently researching disempowerment resulting from assistance in multi-agent scenarios, presented as a poster at CogSci 2025.
Research Experience
  • Graduate Researcher at the Human-Centered Robotics Lab and Computational Minds & Machines Lab, researching human-robot interaction, artificial intelligence, and alignment. Undergraduate RA at the Computation, Motivation, and Control Lab, working on signaling and inferring social preferences in a dynamic multi-agent environment. Also, HCI RA at Grouplens Research, prototyping social robots and supporting recovery from substance abuse disorders through participatory design.
Education
  • PhD student in Computer Science & Engineering at the University of Washington, advised by Maya Cakmak and Max Kleiman-Weiner. Supported by the NSF Computer and Information Science and Engineering Graduate Fellowship and the UW Paul G. Allen Diamond Fellowship.
Background
  • Research interests include human-robot interaction, artificial intelligence, and alignment, particularly in embodied and virtual AI systems. Particularly focused on the key challenges in aligning agentic/robotic assistance with users' goals, which encompasses learning human preferences, investigating intrinsic motivation objectives for assistive agents, and developing shared autonomy systems that balance robotic assistance with user control.
Miscellany
  • Contact: claireyy{at}cs.washington.edu | Google Scholar | LinkedIn | Bluesky | GitHub